Integrate TollCalc into Your Application

TollCalc can be integrated into your software or AI workflows in three ways:

REST API

Full API documentation (OpenAPI 3.0) is available at:

tollcalc.eu/en/api.html

Quick Start

curl -X POST https://app.tollcalc.eu/api/calculate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "origin": "Munich, Germany",
    "destination": "Vienna, Austria",
    "vehicle": {
      "weight": 40,
      "axles": 5,
      "emission_class": "euro6",
      "co2_class": "class_1"
    }
  }'

Parameters

Authentication

API tokens are available after registering at app.tollcalc.eu. Without a token, 10 free requests per session are allowed.

MCP – Integration into AI Assistants

TollCalc supports the Model Context Protocol (MCP) and can be connected directly to AI tools such as Claude Desktop, Cursor, or any other MCP-compatible assistant.

Endpoint

POST https://app.tollcalc.eu/mcp

Available Tools

Configuration in Claude Desktop

Add the following to your Claude Desktop configuration (claude_desktop_config.json):

Option A – OAuth (recommended): Just the URL, no token needed.

{
  "mcpServers": {
    "tollcalc": {
      "url": "https://app.tollcalc.eu/mcp"
    }
  }
}

Option B – API Key (for automation): Set a token manually, e.g. for server-to-server integrations.

{
  "mcpServers": {
    "tollcalc": {
      "url": "https://app.tollcalc.eu/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Without any configuration, 10 free requests per MCP session (= per conversation) are available — no account required. After 10 requests, Claude Desktop automatically opens a browser login (OAuth 2.0). After signing in, your plan quota applies. API tokens for Option B can be created at app.tollcalc.eu.

Example Interaction via MCP

Once configured, you can ask the assistant directly:

"What is the toll cost for a 40-tonne truck from Munich to Vienna?"

The assistant will call the calculate_toll tool and return a structured response.

Detail Levels

The calculate_toll tool supports three detail levels via the detail parameter:

Response Fields

All detail levels include the following fields:

With detail=detailed, countries also includes segments (road, type, km, toll_eur per segment). With detail=full, segments gain coordinates, source_url, matched_geofence, and geometry.

Server Card

The MCP server description (Server Card) is available at:

GET https://app.tollcalc.eu/.well-known/mcp-server

Python Package tollcalc

The tollcalc Python package wraps the REST API for use from Python scripts or Jupyter Notebooks.

Installation

pip install tollcalc

Usage

from tollcalc import TollCalc

client = TollCalc(api_key="YOUR_API_TOKEN")

result = client.calculate(
    origin="Munich, Germany",
    destination="Vienna, Austria",
    weight=40,
    axles=5,
    emission_class="euro6",
    co2_class="class_1",
)

print(f"Total toll: {result.total_toll_eur:.2f} EUR")
print(f"Distance:   {result.total_distance_km:.1f} km")

for country in result.countries:
    print(f"  {country.country_name}: {country.toll_eur:.2f} EUR ({country.toll_km:.0f} toll km)")

Coordinates as Input

result = client.calculate(
    origin="48.1374;11.5755",      # Munich (lat;lon)
    destination="48.2082;16.3738", # Vienna
    weight=40,
    axles=5,
)

Package Documentation

Full documentation and further examples are available on PyPI: pypi.org/project/tollcalc

Pricing & Quotas

All plans and current pricing: tollcalc.eu/en/#pricing

For integration questions, contact support@tollcalc.eu.